Senior Financial Data Analyst - São Paulo (Contract)

First Help Financial (FHF) is a fast-growing and culturally diverse company in the U.S. We provide auto loans to the underserved and care for our customers and partners with exceptional service. Through flexible financing options and tri-lingual support, we offer consumers an easier way to finance their first car. We lend to and support our portfolio which has consistently grown 30%+ each year over the last nine years.

Here you will find hard-working colleagues who come from over 20 countries. We hold ourselves to the highest standards of professionalism but also enjoy our work. Our culture and benefits are geared towards making you successful in life and comfortable at work.

Your Title: Senior Financial Data Analyst.

Your Location: Hybrid/Brazil HQ address - Nações Unidas 12901 - São Paulo - SP (this role requires ONE day per week in the office on a rotating schedule, plus an additional day in the office each month.)

You Report To: Chief Financial Officer.

Learn more about our awesome Finance Team.

About the Opportunity:

First Help Financial, recently voted as a "Great Place to Work" for the fifth year in a row is seeking a Machine Learning Engineer to join our highly skilled and innovative team. First Help Financial is embarking on a new growth phase involving multiple game-changing projects.

#SQL #FP&A

What you will do:

This role is a hybrid FP&A and Data Analytics position designed for a candidate who is equally comfortable working with financial statements and large datasets. The Financial Data & FP&A Analyst will own the data foundation that underpins forecasting, investor reporting, and strategic decision-making.

While the outputs are financial, the value of this role comes from data ownership, automation, and analytical rigor. You will serve as the connective tissue between Finance, Strategy & Analytics, and Capital Markets assuring that financial conclusions are backed by clean, consistent, and well-structured data. This is an ideal role for someone who thinks like an FP&A professional but works like a data analyst. · This role is intentionally designed for someone who:

• Enjoys working in both financial models and data tables
• Wants ownership over how financial data is built, validated, and consumed
• Is comfortable explaining technical analysis to non-technical finance and executive audiences
• Thrives in environments where processes are being built or modernized

Your responsibilities include but are not limited to:

• Support budgeting, forecasting, and variance analysis with loan- and portfolio-level data.
• Assist in preparing board and investor reporting, ensuring financial narratives are supported by accurate data.
• Partner with FP&A leadership on financing and capital-related analysis, including collateral performance and funding metrics.
• Help translate portfolio performance into clear financial implications.
• Design, maintain, and validate the loan collateral dataset across internal systems and third-party structured finance platforms.
• Write and maintain SQL queries to extract, reconcile, and aggregate data from multiple source systems.
• Own data quality checks, reconciliations, and controls to ensure datasets are audit- and investor-ready.
• Partner with Strategy & Analytics to define single sources of truth for portfolio and financial reporting.
• Standardize and automate recurring FP&A and investor reports using SQL, Excel, and scripting tools.
• Build scalable analytical workflows that reduce manual effort and improve reporting speed and accuracy.
• Analyze portfolio trends including yield, losses, prepayments, delinquencies, and macroeconomic impacts.
• Convert complex financial and portfolio data into insights leadership can act on.
  

What you bring:

• Bachelor’s degree in Finance, Economics, Accounting, Business Analytics, Data Science, or related field.
• 5+ years of experience working with large datasets including querying, validating, and reconciling data using SQL.
• 2+ years of experience in FP&A, finance, accounting, or structured finance, or strong exposure to financial reporting.
• Advanced Excel skills (financial modeling, scenario analysis, pivots, complex formulas).
• Strong ability to translate data and technical concepts into clear financial insights.
• Demonstrated experience turning business questions into structured analytical solutions.
• Strong verbal and written English language skills.

Preferred (But Not Required):

• Experience in auto finance, consumer lending, or structured finance.
• Exposure to BI tools or cloud data platforms (Snowflake, Sigma, Power BI, Tableau).
• Familiarity with loan-level data, amortization, or collateral reporting.
• Experience with Python, R, or SAS for data manipulation or automation.

FHF Benefits:

• Great Perks – We offer generous salaries, social activities, monthly lunches, and a robust employee recognition and talent development program to enhance your career with us.
• Culture - We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself.
• Growth - Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you.

Diversity and Inclusion

FHF is committed to building a culture that respects and embraces all walks of life, inclusive of all genders, race, culture, age, sexual orientation, and other identities. We will make accommodations when interviewing anyone with special needs.